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Market Impact: 0.28

Bargain Alert: 2 Brand-Name Software Stocks That Haven't Been This Cheap in Over a Decade

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The article argues that Adobe and Microsoft are attractive software bargains, with Adobe 46% below its closing high and Microsoft down nearly one-third since late October. Both companies are presented as benefiting from AI rather than being harmed by it: Adobe’s AI-first ARR more than tripled and subscription revenue rose 13%, while Microsoft posted 15% constant-currency sales growth and Azure growth reaccelerated to nearly 40%. It also highlights strong shareholder returns, including Adobe’s long-running buyback program and Microsoft’s leading dividend payout scale.

Analysis

The market is still treating AI as a displacement story for application software, but the better read is that incumbents with entrenched workflows are gaining a monetization layer rather than losing relevance. That matters because the first derivative impact is not revenue disruption; it is a shift in mix toward higher-ARPU AI add-ons while the base subscription franchise stays sticky. In other words, the real competitive loser is not the named incumbents here but smaller point-solution vendors that lack distribution, data, and switching-cost moats. The second-order benefit is capital allocation: both names can use abundant recurring cash flow to buy back stock into depressed multiples, effectively converting sentiment-driven drawdowns into per-share compounding. That creates a more asymmetric setup over a 6-18 month horizon than the headline beta suggests, especially if investors continue to underwrite AI as a near-term margin headwind rather than a product cycle accelerator. The key risk is that the re-rating stalls if AI attach rates fail to translate into net revenue retention gains by the next two reporting cycles. Microsoft is the cleaner quality compounder, but Adobe has the higher convexity because expectations are lower and the multiple is already implying a prolonged secular slowdown. If enterprise software multiples remain compressed, the pair can work even without broad sector beta: the market is likely to reward the company that proves AI is incremental to seat expansion, while punishing any vendor where AI monetization lags implementation. The contrarian miss is that the crowd is still extrapolating disruption from consumer AI adoption into enterprise workflows, where procurement friction and integration cost make replacement far slower than headlines suggest.